Data Engineer

Company description:
Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. .Learn more at www.epirocgroup.com.
Job description:Data Engineer 
Join our team 
At Epiroc Tools division, we are building a new Data & AI capability to accelerate the adoption of AI across our global operations, products, and services. As part of the Digital Innovation team, you will be at the center of this transformation, where we develop scalable AI products supporting the entire division.  
We are now expanding our team with dedicated Data Engineering capabilities to strengthen the foundation for our AI and analytics solutions. You will work closely with data scientists, product leads, and business stakeholders to build robust, scalable data pipelines that power AI-driven products end-to-end. 
Your mission 
As a Data Engineer, your mission is to build and scale the data foundation that enables modern AI products. You will play a key role in designing and implementing data pipelines, ensuring data quality, and enabling advanced analytics and machine learning across the organization. 
You will: 

Design, build, and optimize data pipelines for large-scale, cloud-based environments 


Ensure data availability, quality, and reliability for AI and analytics use cases 


Work closely with data scientists to enable feature pipelines and machine learning workflows 


Develop and maintain scalable architectures supporting end-to-end AI products 


Contribute to building a modern data platform (Databricks, cloud, orchestration, monitoring)  


Support the full data lifecycle, from ingestion and transformation to serving data for AI and business insights 


Collaborate with stakeholders across business, IT, and product teams to translate needs into scalable solutions 


You will be part of building something new, defining ways of working, setting standards, and shaping how we scale AI across the Tools division. You will help define not only what we built, but how we build it. 
 
Profile description: Your profile 
We are looking for someone who combines strong technical skills with a pragmatic and collaborative mindset. You enjoy solving real problems, building robust systems, and working in a fast-evolving environment. 
We believe you bring: 

Experience as a Data Engineer or in a similar role (mid–senior level) 


Strong skills in Python and SQL for data processing and transformation  


Experience with cloud-based data platforms (e.g., Azure, Databricks)  


Experience building data pipelines and working with orchestration tools  


Understanding of modern data architectures and scalable data workflows 


Experience collaborating with data scientists and enabling ML pipelines 


As a person, you are: 

Curious and solution-oriented 


Collaborative and comfortable working cross-functionally 


Pragmatic, with a focus on delivering value 


Motivated by building something new and making real impact 

We offer:
Location and other 
This position can be located in Fagersta, Stockholm, or Örebro, Sweden. 
Application 
We encourage you to submit your application through our online career site as soon as possible, but no later than 2026-06-14. Applications will be reviewed on a rolling basis, and the position may be filled before last application date. 
We are committed to a thorough recruitment process, including interviews, reference checks and assessments. To ensure a safe working environment, we conduct identity checks and drug and alcohol screening.